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<div class="title">BoostNumpyNdarrayHelper.hpp</div>  </div>
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<a href="_boost_numpy_ndarray_helper_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160; </div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#ifdef INCLUDE_BOOST_PYTHON_INTERFACE</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_stl_algorithms_8hpp.html">NumCpp/Core/Internal/StlAlgorithms.hpp</a>&quot;</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_types_8hpp.html">NumCpp/Core/Types.hpp</a>&quot;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="num2str_8hpp.html">NumCpp/Utils/num2str.hpp</a>&quot;</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160; </div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160; </div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;boost/python.hpp&quot;</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;boost/python/numpy.hpp&quot;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160; </div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacenc.html">nc</a></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keyword">namespace </span>boostPythonInterface</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    {</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="comment">//================================================================================</span></div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="comment"></span>        <span class="keyword">template</span>&lt;<span class="keyword">typename</span> dtype&gt;</div>
<div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html">   52</a></span>&#160;        <span class="keyword">class </span><a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html">BoostNdarrayHelper</a></div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <span class="keyword">public</span>:</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;            <span class="comment">//================================================================================</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">   57</a></span>&#160;<span class="comment"></span>            <span class="keyword">enum class</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">Order</a> { <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a800618943025315f869e4e1f09471012">F</a>, <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a0d61f8370cad1d412f80b84d143e1257">C</a> };</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160; </div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aece0d05bbeaa992eb105dddafe11d3d6">   64</a></span>&#160;<span class="comment"></span>            <span class="keyword">explicit</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aece0d05bbeaa992eb105dddafe11d3d6">BoostNdarrayHelper</a>(<span class="keyword">const</span> boost::python::numpy::ndarray&amp; inArray) :</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                theArray_(inArray.<a class="code" href="namespacenc.html#a07250b272d24387fab405d29c14082e4">astype</a>(boost::python::numpy::dtype::get_builtin&lt;dtype&gt;())),</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                numDimensions_(static_cast&lt;<a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>&gt;(inArray.get_nd())),</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                shape_(numDimensions_),</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                strides_(numDimensions_),</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                order_(<a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">Order</a>::C)</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;            {</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                Py_intptr_t <span class="keyword">const</span> * shapePtr = inArray.get_shape();</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                <span class="keywordflow">for</span> (<a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                {</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                    strides_[i] = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(theArray_.strides(i));</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                    shape_[i] = shapePtr[i];</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                }</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                <span class="keywordflow">if</span> (numDimensions_ &gt; 1 &amp;&amp; inArray.strides(0) &lt; inArray.strides(1))</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                {</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                    order_ = <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a800618943025315f869e4e1f09471012">Order::F</a>;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                }</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            }</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160; </div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a649930af85396c05d2f3ccb528d4eb24">   90</a></span>&#160;<span class="comment"></span>            <span class="keyword">explicit</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a649930af85396c05d2f3ccb528d4eb24">BoostNdarrayHelper</a>(boost::python::tuple inShape) :</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                theArray_(boost::python::numpy::<a class="code" href="namespacenc.html#a8fb3ecc9cc7448e4b5d3d422e499b10e">zeros</a>(inShape, boost::python::numpy::dtype::get_builtin&lt;dtype&gt;())),</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                numDimensions_(static_cast&lt;<a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>&gt;(theArray_.get_nd())),</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                shape_(numDimensions_),</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                strides_(numDimensions_),</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                order_(<a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">Order</a>::C)</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;            {</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;                Py_intptr_t <span class="keyword">const</span> * shapePtr = theArray_.get_shape();</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                <span class="keywordflow">for</span> (<a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                {</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                    strides_[i] = <span class="keyword">static_cast&lt;</span><a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(theArray_.strides(i));</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;                    shape_[i] = shapePtr[i];</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                }</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                <span class="keywordflow">if</span> (numDimensions_ &gt; 1 &amp;&amp; theArray_.strides(0) &lt; theArray_.strides(1))</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                    order_ = <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a800618943025315f869e4e1f09471012">Order::F</a>;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                }</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;            }</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160; </div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160; </div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0a6c3bfdab008b433ba0dae0689ee1fa">  117</a></span>&#160;<span class="comment"></span>            <span class="keyword">const</span> boost::python::numpy::ndarray&amp; <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0a6c3bfdab008b433ba0dae0689ee1fa">getArray</a>() noexcept </div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;            {</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                <span class="keywordflow">return</span> theArray_;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;            }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6939e6397314b48817c1ab6352a60f85">  127</a></span>&#160;<span class="comment"></span>            boost::python::numpy::matrix <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6939e6397314b48817c1ab6352a60f85">getArrayAsMatrix</a>()</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;            {</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;                <span class="keywordflow">return</span> boost::python::numpy::matrix(theArray_);</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;            }</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160; </div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a73b77718d65b0531030c795bcc6fe7e4">  137</a></span>&#160;<span class="comment"></span>            <a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a73b77718d65b0531030c795bcc6fe7e4">numDimensions</a>() noexcept </div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            {</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                <span class="keywordflow">return</span> numDimensions_;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;            }</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160; </div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3bc1683f38f594bae02c4eb4795a9aab">  147</a></span>&#160;<span class="comment"></span>            <span class="keyword">const</span> std::vector&lt;Py_intptr_t&gt;&amp; <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3bc1683f38f594bae02c4eb4795a9aab">shape</a>() noexcept </div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;            {</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                <span class="keywordflow">return</span> shape_;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            }</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160; </div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ac4fe82faa11df5734d746600cfba7149">  157</a></span>&#160;<span class="comment"></span>            <a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ac4fe82faa11df5734d746600cfba7149">size</a>()</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;            {</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                <a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> theSize = 1;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                <span class="keywordflow">for</span> (<span class="keyword">auto</span> dimSize : shape_)</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                {</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                    theSize *= <span class="keyword">static_cast&lt;</span><a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(dimSize);</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                }</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                <span class="keywordflow">return</span> theSize;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;            }</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160; </div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160; </div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aaf8c517c524c3e9ff5a999d266ca84f4">  173</a></span>&#160;<span class="comment"></span>            <span class="keyword">const</span> std::vector&lt;uint32&gt;&amp; <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aaf8c517c524c3e9ff5a999d266ca84f4">strides</a>() </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;            {</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;                <span class="keywordflow">return</span> strides_;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;            }</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160; </div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ab7b0fe82186d55265ec4c247d79ea9a8">  183</a></span>&#160;<span class="comment"></span>            <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">Order</a> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ab7b0fe82186d55265ec4c247d79ea9a8">order</a>() </div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;            {</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                <span class="keywordflow">return</span> order_;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;            }</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160; </div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0c69ec13dae8782be1cf4da41c277c01">  195</a></span>&#160;<span class="comment"></span>            <span class="keywordtype">bool</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0c69ec13dae8782be1cf4da41c277c01">shapeEqual</a>(<a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html">BoostNdarrayHelper</a>&amp; otherNdarrayHelper)</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;            {</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;                <span class="keywordflow">if</span> (shape_.size() != otherNdarrayHelper.shape_.size())</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;                {</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;                    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                }</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160; </div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                <span class="keywordflow">return</span> <a class="code" href="namespacenc_1_1stl__algorithms.html#ab200b92040bf3da8ee4325f5a994e73d">stl_algorithms::equal</a>(shape_.begin(), shape_.end(), otherNdarrayHelper.shape_.begin());</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;            }</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160; </div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a8fcb5d4d25c201c4ce3f6ce2046bfe13">  212</a></span>&#160;<span class="comment"></span>            dtype&amp; <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a8fcb5d4d25c201c4ce3f6ce2046bfe13">operator()</a>(<a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index)</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;            {</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                checkIndices1D(index);</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160; </div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span>dtype*<span class="keyword">&gt;</span>(theArray_.get_data() + strides_.front() * index);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;            }</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160; </div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a7f34c08ee8ca4784eeb962f2b46d7854">  227</a></span>&#160;<span class="comment"></span>            dtype&amp; <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a7f34c08ee8ca4784eeb962f2b46d7854">operator()</a>(<a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index1, <a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index2)</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;            {</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;                checkIndices2D(index1, index2);</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160; </div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;                <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span>dtype*<span class="keyword">&gt;</span>(theArray_.get_data() + strides_.front() * index1 + strides_[1] * index2);</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;            }</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160; </div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#acf45376090a7da0f19d2a147b2179876">  237</a></span>&#160;<span class="comment"></span>            <span class="keywordtype">void</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#acf45376090a7da0f19d2a147b2179876">printArray1D</a>()</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;            {</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;                printf(<span class="stringliteral">&quot;array = \n&quot;</span>);</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;                <span class="keywordflow">if</span> (numDimensions_ != 1)</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;                {</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;                    std::cout &lt;&lt; <span class="stringliteral">&quot;printArray1D can only be used on a 1D array.&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;                    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;                }</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160; </div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;                <span class="keywordflow">for</span> (<a class="code" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> i = 0; i &lt; shape_.front(); ++i)</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;                {</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;                    printf(<span class="stringliteral">&quot;\t%f\n&quot;</span>, <span class="keyword">operator</span>()(i));</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;                }</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;            }</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160; </div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3be5909afba38304055c66a1450be791">  255</a></span>&#160;<span class="comment"></span>            <span class="keywordtype">void</span> <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3be5909afba38304055c66a1450be791">printArray2D</a>()</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;            {</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;                printf(<span class="stringliteral">&quot;array = \n&quot;</span>);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;                <span class="keywordflow">if</span> (numDimensions_ != 2)</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;                {</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;                    std::cout &lt;&lt; <span class="stringliteral">&quot;printArray2D can only be used on a 2D array.&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;                    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                }</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160; </div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;                <span class="keywordflow">for</span> (<a class="code" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> index1 = 0; index1 &lt; shape_.front(); ++index1)</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;                {</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;                    <span class="keywordflow">for</span> (<a class="code" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> index2 = 0; index2 &lt; shape_.back(); ++index2)</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;                    {</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                        printf(<span class="stringliteral">&quot;\t%f&quot;</span>, <span class="keyword">operator</span>()(index1, index2));</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                    }</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                    printf(<span class="stringliteral">&quot;\n&quot;</span>);</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                }</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;            }</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160; </div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        <span class="keyword">private</span>:</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;            <span class="comment">//====================================Attributes==============================</span></div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;            boost::python::numpy::ndarray   theArray_;</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;            <a class="code" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>                           numDimensions_;</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;            std::vector&lt;Py_intptr_t&gt;        shape_;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;            std::vector&lt;uint32&gt;             strides_;</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;            <a class="code" href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">Order</a>                           order_;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;<span class="comment"></span>            <span class="keywordtype">void</span> checkIndicesGeneric(boost::python::tuple indices)</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;            {</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;                <span class="keywordflow">if</span> (boost::python::len(indices) != numDimensions_)</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;                {</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;                    std::string errStr = <span class="stringliteral">&quot;Error: BoostNdarrayHelper::checkIndicesGeneric: Array has &quot;</span> + <a class="code" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(numDimensions_);</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;                    errStr += <span class="stringliteral">&quot; dimensions, you asked for &quot;</span> + <a class="code" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(boost::python::len(indices))) + <span class="stringliteral">&quot;!&quot;</span>;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;                    PyErr_SetString(PyExc_RuntimeError, errStr.c_str());</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;                }</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160; </div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;                {</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;                    <span class="keywordtype">int</span> index = boost::python::extract&lt;int&gt;(indices[i]);</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;                    <span class="keywordflow">if</span> (index &gt; shape_[i])</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;                    {</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                        std::string errStr = <span class="stringliteral">&quot;Error: BoostNdarrayHelper::checkIndicesGeneric: Input index [&quot;</span> + <a class="code" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(index);</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;                        errStr += <span class="stringliteral">&quot;] is larger than the size of the array [&quot;</span> + <a class="code" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(shape_[i]) + <span class="stringliteral">&quot;].&quot;</span>;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;                        PyErr_SetString(PyExc_RuntimeError, errStr.c_str());</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;                    }</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;                }</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;            }</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160; </div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;<span class="comment"></span>            <span class="keywordtype">void</span> checkIndices1D(<a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index)</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;            {</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;                boost::python::tuple indices = boost::python::make_tuple(index);</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;                checkIndicesGeneric(indices);</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;            }</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160; </div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;            <span class="comment">//============================================================================</span></div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;<span class="comment"></span>            <span class="keywordtype">void</span> checkIndices2D(<a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index1, <a class="code" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index2)</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;            {</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                boost::python::tuple indices = boost::python::make_tuple(index1, index2);</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                checkIndicesGeneric(indices);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;            }</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;        };</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    }  <span class="comment">// namespace boostPythonInterface</span></div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;} <span class="comment">// namespace nc</span></div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;<span class="preprocessor">#endif</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacenc_html_a8fb3ecc9cc7448e4b5d3d422e499b10e"><div class="ttname"><a href="namespacenc.html#a8fb3ecc9cc7448e4b5d3d422e499b10e">nc::zeros</a></div><div class="ttdeci">NdArray&lt; dtype &gt; zeros(uint32 inSquareSize)</div><div class="ttdef"><b>Definition:</b> zeros.hpp:50</div></div>
<div class="ttc" id="anamespacenc_html_a9386099a0fdc2bc9fb0dbfde5606584d"><div class="ttname"><a href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">nc::int32</a></div><div class="ttdeci">std::int32_t int32</div><div class="ttdef"><b>Definition:</b> Types.hpp:36</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a6f7c27e9f931e541dc034cd7fe9c3311"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311">nc::boostPythonInterface::BoostNdarrayHelper::Order</a></div><div class="ttdeci">Order</div><div class="ttdoc">C or Fortran ordering from python.</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:57</div></div>
<div class="ttc" id="anamespacenc_html_a07250b272d24387fab405d29c14082e4"><div class="ttname"><a href="namespacenc.html#a07250b272d24387fab405d29c14082e4">nc::astype</a></div><div class="ttdeci">NdArray&lt; dtypeOut &gt; astype(const NdArray&lt; dtype &gt; inArray)</div><div class="ttdef"><b>Definition:</b> astype.hpp:47</div></div>
<div class="ttc" id="anamespacenc_html_a9ba5a0aa26753a185985b8273fb9062d"><div class="ttname"><a href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">nc::uint8</a></div><div class="ttdeci">std::uint8_t uint8</div><div class="ttdef"><b>Definition:</b> Types.hpp:42</div></div>
<div class="ttc" id="anamespacenc_1_1utils_html_a16a6ad93c420ed7a003d9921bee1a7c6"><div class="ttname"><a href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">nc::utils::num2str</a></div><div class="ttdeci">std::string num2str(dtype inNumber)</div><div class="ttdef"><b>Definition:</b> num2str.hpp:46</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_aaf8c517c524c3e9ff5a999d266ca84f4"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aaf8c517c524c3e9ff5a999d266ca84f4">nc::boostPythonInterface::BoostNdarrayHelper::strides</a></div><div class="ttdeci">const std::vector&lt; uint32 &gt; &amp; strides()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:173</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a3bc1683f38f594bae02c4eb4795a9aab"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3bc1683f38f594bae02c4eb4795a9aab">nc::boostPythonInterface::BoostNdarrayHelper::shape</a></div><div class="ttdeci">const std::vector&lt; Py_intptr_t &gt; &amp; shape() noexcept</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:147</div></div>
<div class="ttc" id="anamespacenc_html_af0f49663fb63332596e2e6327009d581"><div class="ttname"><a href="namespacenc.html#af0f49663fb63332596e2e6327009d581">nc::uint32</a></div><div class="ttdeci">std::uint32_t uint32</div><div class="ttdef"><b>Definition:</b> Types.hpp:40</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a0a6c3bfdab008b433ba0dae0689ee1fa"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0a6c3bfdab008b433ba0dae0689ee1fa">nc::boostPythonInterface::BoostNdarrayHelper::getArray</a></div><div class="ttdeci">const boost::python::numpy::ndarray &amp; getArray() noexcept</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:117</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a6f7c27e9f931e541dc034cd7fe9c3311a0d61f8370cad1d412f80b84d143e1257"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a0d61f8370cad1d412f80b84d143e1257">nc::boostPythonInterface::BoostNdarrayHelper::Order::C</a></div><div class="ttdeci">@ C</div></div>
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<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a0c69ec13dae8782be1cf4da41c277c01"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a0c69ec13dae8782be1cf4da41c277c01">nc::boostPythonInterface::BoostNdarrayHelper::shapeEqual</a></div><div class="ttdeci">bool shapeEqual(BoostNdarrayHelper &amp;otherNdarrayHelper)</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:195</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_aece0d05bbeaa992eb105dddafe11d3d6"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#aece0d05bbeaa992eb105dddafe11d3d6">nc::boostPythonInterface::BoostNdarrayHelper::BoostNdarrayHelper</a></div><div class="ttdeci">BoostNdarrayHelper(const boost::python::numpy::ndarray &amp;inArray)</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:64</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a7f34c08ee8ca4784eeb962f2b46d7854"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a7f34c08ee8ca4784eeb962f2b46d7854">nc::boostPythonInterface::BoostNdarrayHelper::operator()</a></div><div class="ttdeci">dtype &amp; operator()(uint32 index1, uint32 index2)</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:227</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html">nc::boostPythonInterface::BoostNdarrayHelper</a></div><div class="ttdoc">Helper class for ndarray.</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:52</div></div>
<div class="ttc" id="anamespacenc_html"><div class="ttname"><a href="namespacenc.html">nc</a></div><div class="ttdef"><b>Definition:</b> Coordinate.hpp:44</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_ac4fe82faa11df5734d746600cfba7149"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ac4fe82faa11df5734d746600cfba7149">nc::boostPythonInterface::BoostNdarrayHelper::size</a></div><div class="ttdeci">uint32 size()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:157</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_acf45376090a7da0f19d2a147b2179876"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#acf45376090a7da0f19d2a147b2179876">nc::boostPythonInterface::BoostNdarrayHelper::printArray1D</a></div><div class="ttdeci">void printArray1D()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:237</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a73b77718d65b0531030c795bcc6fe7e4"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a73b77718d65b0531030c795bcc6fe7e4">nc::boostPythonInterface::BoostNdarrayHelper::numDimensions</a></div><div class="ttdeci">uint8 numDimensions() noexcept</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:137</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a6939e6397314b48817c1ab6352a60f85"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6939e6397314b48817c1ab6352a60f85">nc::boostPythonInterface::BoostNdarrayHelper::getArrayAsMatrix</a></div><div class="ttdeci">boost::python::numpy::matrix getArrayAsMatrix()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:127</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a3be5909afba38304055c66a1450be791"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a3be5909afba38304055c66a1450be791">nc::boostPythonInterface::BoostNdarrayHelper::printArray2D</a></div><div class="ttdeci">void printArray2D()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:255</div></div>
<div class="ttc" id="a_stl_algorithms_8hpp_html"><div class="ttname"><a href="_stl_algorithms_8hpp.html">StlAlgorithms.hpp</a></div></div>
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<div class="ttc" id="a_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.hpp</a></div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a6f7c27e9f931e541dc034cd7fe9c3311a800618943025315f869e4e1f09471012"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a6f7c27e9f931e541dc034cd7fe9c3311a800618943025315f869e4e1f09471012">nc::boostPythonInterface::BoostNdarrayHelper::Order::F</a></div><div class="ttdeci">@ F</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a8fcb5d4d25c201c4ce3f6ce2046bfe13"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a8fcb5d4d25c201c4ce3f6ce2046bfe13">nc::boostPythonInterface::BoostNdarrayHelper::operator()</a></div><div class="ttdeci">dtype &amp; operator()(uint32 index)</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:212</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_ab7b0fe82186d55265ec4c247d79ea9a8"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#ab7b0fe82186d55265ec4c247d79ea9a8">nc::boostPythonInterface::BoostNdarrayHelper::order</a></div><div class="ttdeci">Order order()</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:183</div></div>
<div class="ttc" id="aclassnc_1_1boost_python_interface_1_1_boost_ndarray_helper_html_a649930af85396c05d2f3ccb528d4eb24"><div class="ttname"><a href="classnc_1_1boost_python_interface_1_1_boost_ndarray_helper.html#a649930af85396c05d2f3ccb528d4eb24">nc::boostPythonInterface::BoostNdarrayHelper::BoostNdarrayHelper</a></div><div class="ttdeci">BoostNdarrayHelper(boost::python::tuple inShape)</div><div class="ttdef"><b>Definition:</b> BoostNumpyNdarrayHelper.hpp:90</div></div>
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